(Sub)Exponential Quantum Speedup for Optimization
- URL: http://arxiv.org/abs/2504.14841v1
- Date: Mon, 21 Apr 2025 03:44:46 GMT
- Title: (Sub)Exponential Quantum Speedup for Optimization
- Authors: Jiaqi Leng, Kewen Wu, Xiaodi Wu, Yufan Zheng,
- Abstract summary: We demonstrate provable (sub)exponential quantum speedups in both discrete and continuous optimization.<n>Our result builds on the Gily'en--Hastings--Vazirani (sub)exponential oracle separation for adiabatic quantum computing.
- Score: 6.420160601441722
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We demonstrate provable (sub)exponential quantum speedups in both discrete and continuous optimization, achieved through simple and natural quantum optimization algorithms, namely the quantum adiabatic algorithm for discrete optimization and quantum Hamiltonian descent for continuous optimization. Our result builds on the Gily\'en--Hastings--Vazirani (sub)exponential oracle separation for adiabatic quantum computing. With a sequence of perturbative reductions, we compile their construction into two standalone objective functions, whose oracles can be directly leveraged by the plain adiabatic evolution and Schr\"odinger operator evolution for discrete and continuous optimization, respectively.
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